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Water quality management (WQM) significantly affects water use and ecosystem health, which is helpful for achieving sustainability in environmental and economic aspects. However, the implementation of water quality management is still challenging in practice due to the uncertainty and nonlinearity existing in water systems, as well as the difficulty of the integration of simulation and optimization analyses. Therefore, effective optimization frameworks for handling nonlinearity, various uncertainties, and integrated complex water quality simulation models are highly desired. This dissertation tries to address such challenges by proposing new efficient hybrid inexact optimization models for water quality management under uncertainty through: i) developing an interval quadratic programming (IQP) model for handling both nonlinearity and uncertainty expressed as intervals for water quality management, and solving the developed model by three algorithms to compare and investigate the most effective and straightforward solution algorithm for IQP-WQM problems; ii) developing a simulation-based interval chance-constrained quadratic programming model, which is able to deal with nonlinearity and uncertainties with multiple formats, and implementing a real-world case study of phosphorus control in the central Grand River, Ontario, Canada; iii) proposing a data-driven interval credibility constrained quadratic programming model for water quality management by utilizing a data-driven surrogate model (i.e., inexact linear regression) to incorporate a complex water quality simulation model with the optimization framework to overcome challenges from the integrated simulation-optimization. The performance of the proposed frameworks/models was tested by different case studies and various mathematical techniques (e.g., sensitivity analysis). The results indicate the proposed models are capable of dealing with nonlinearity and various uncertainties, and significantly reducing the computational burden from simulation-optimization analysis. Coupling such efforts in developing efficient hybrid inexact optimization models for water quality management under uncertainty can provide useful tools to solve large-scale complex water quality management problems in a robust manner, and further provide reliable and effective decision supports for water quality planning and management. / Thesis / Doctor of Philosophy (PhD) / Water quality management plays a key role in facilitating environmental and economic sustainability. However, many challenges still exist in practical water quality management problems, such as various uncertainties and complexities, as well as complicated integrated simulation-optimization analysis. Therefore, the goal of this dissertation is to address such challenges by developing a set of efficient hybrid inexact optimization models for water quality management under uncertainty through: i) developing an interval quadratic programming model for water quality management, and investigating its effective and straightforward solution algorithms; ii) leveraging the power of data-driven modeling and proposing efficient data-driven optimization models based on hybrid inexact programming for water quality management. Robust and effective water quality planning schemes for large-scale water quality management problems can be obtained based on the proposed frameworks/models.

A sample of the surface-well water was taken from an area of the predominating soil of each of the three geological regions of Denton County, Texas, and a chemical analysis of each sample was made. This thesis deals with the area from which the samples were taken, the methods of analysis used, and the results of the analysis.

Owing to climate change, natural forest disturbances and consecutive salvage logging are drastically increasing worldwide, consequently increasing the importance of understanding how these disturbances would affect biodiversity conservation and provision of ecosystem services. In chapter II, I used long-term water monitoring data and mid-term data on α-diversity of twelve species groups to quantify the effects of natural disturbances (windthrow and bark beetle) and salvage logging on concentrations of nitrate and dissolved organic carbon (DOC) in streamwater and α-diversity. I found that natural disturbances led to a temporal increase of nitrate concentrations in streamwater, but these concentrations remained within the health limits recommended by the World Health Organization for drinking water. Salvage logging did not exert any additional impact on nitrate and DOC concentrations, and hence did not affect streamwater quality. Thus, neither natural forest disturbances in watersheds nor associated salvage logging have a harmful effect on the quality of the streamwater used for drinking water. Natural disturbances increased the α-diversity in eight out of twelve species groups. Salvage logging additionally increased the α-diversity of five species groups related to open habitats, but decreased the biodiversity of three deadwood-dependent species groups. In chapter III, I investigated whether salvage logging following natural disturbances (wildfire and windthrow) altered the natural successional trajectories of bird communities. I compiled data on breeding bird assemblages from nine study areas in North America, Europe and Asia, over a period of 17 years and tested whether bird community dissimilarities changed over time for taxonomic, functional and phylogenetic diversity when rare, common and dominant species were weighted differently. I found that salvage logging led to significantly larger dissimilarities than expected by chance and that these dissimilarities persisted over time for rare, common and dominant species, evolutionary lineages, and for rare functional groups. Dissimilarities were highest for rare, followed by common and dominant species. In chapter IV, I investigated how β-diversity of 13 taxonomic groups would differ in intact, undisturbed forests, disturbed, unlogged forests and salvage-logged forests 11 years after a windthrow and salvage logging. The study suggests that both windthrow and salvage logging drive changes in between-treatment β-diversity, whereas windthrow alone seems to drive changes in within-treatment β-diversity. Over a decade after the windthrow at the studied site, the effect of subsequent salvage logging on within-treatment β-diversity was no longer detectable but the effect on between-treatment β-diversity persisted, with more prominent changes in saproxylic groups and rare species than in non-saproxylic groups or common and dominant species. Based on these results, I suggest that salvage logging needs to be carefully weighed against its long-lasting impact on communities of rare species. Also, setting aside patches of naturally disturbed areas is a valuable management alternative as these patches would enable post-disturbance succession of bird communities in unmanaged patches and would promote the conservation of deadwood-dependent species, without posing health risks to drinking water sources. / In Folge des Klimawandels treten in Wäldern vermehrt natürliche Störungen auf, wodurch wiederum die Zahl an nachfolgenden Sanitärhieben (Räumungen) drastisch gestiegen ist. Wie sich natürliche Störungen und Sanitärhiebe auf die biologische Vielfalt und die Bereitstellung von Ökosystemleistungen auswirken können, ist bisher jedoch nur unzureichend bekannt. In Kapitel II nutzte ich langfristige Wassermonitoringdaten und mittelfristige Biodiversitätsdaten über zwölf Artengruppen, um die Effekte von natürlichen Störungen (Windwurf und Borkenkäfer) und Sanitärhieben auf die Konzentrationen von Nitraten und gelöster organischer Kohlenstoffe (GOK) in Bächen und Artenzahl zu quantifizieren. Die Ergebnisse zeigen, heraus, dass natürliche Störungen zu einer temporären Erhöhung der Nitratwerte führen, welche dennoch laut Angaben der Weltgesundheitsorganisation immer noch als unbedenklich eingestuft werden können. Die Sanitärhiebe hatten keinen zusätzlichen Einfluss auf die Nitrat- und GOK-Konzentrationen und daher keinen Einfluss auf die Wasserqualität. Daraus lässt sich schließen, dass sich weder natürliche Waldstörungen in Wassereinzugsgebieten noch die damit verbundenen Sanitärhiebe auf die Trinkwasserqualität aus auswirken. Natürliche Störungen erhöhten die Artenzahlen in acht von zwölf Artengruppen. Zusätzlich erhöhten die Sanitärhiebe die Artenzahlen von fünf Artengruppen, welche auf offene Lebensräume angewiesen sind, verringerte jedoch die Artenzahlen von drei xylobionte Artengruppen. In Kapitel III habe ich untersucht, ob Sanitärhiebe nach natürlichen Waldstörungen zu sukzessiven Veränderungen der Vogelgemeinschaften führen. Hierzu habe ich die taxonomische, funktionelle und phylogenetische Diversität von Brutvogelgemeinschaften aus neun Untersuchungsregionen in Nordamerika, Europa und Asien über die Zeit von 17 Jahren verglichen und analysiert, ob sich das jeweilige Diversitätsmaß verändert, wenn seltene, häufige und dominante Arten unterschiedlich gewichtet werden. Ich konnte zeigen, dass Sanitärhiebe zu signifikant größeren Unterschieden geführt haben als zufällig zu erwarten gewesen sind und dass diese Unterschiede über die Zeit sowohl für seltene, häufige und dominante Arten, als auch für evolutionäre Linien, und funktionelle Gruppen fortdauern. Diese Unterschiede waren am größten für seltene, gefolgt von häufigen und dominanten Arten. In Kapitel IV untersuchte ich wie sich die β-Diversität von 13 taxonomischen Gruppen zwischen ungestörten Wäldern, gestörten und ungeräumten Wäldern sowie gestörten und geräumten Wäldern 11 Jahre nach Windwurf und anschließender Räumung unterscheidet. Die Ergebnisse deuten darauf hin, dass sowohl Windwurf als auch Räumung Änderungen in der β-Diversität bewirken. Windwurf allein jedoch scheint diese Änderungen in der β-Diversität innerhalb der Behandlung bewirken zu können. Über ein Jahrzehnt nach dem Windwurf war der Effekt des Sanitärhiebes auf die β-Diversität innerhalb der Behandlung nicht mehr nachweisbar. Der Effekt auf die β-Diversität zwischen den Behandlungen blieb jedoch bestehen, wobei sich die xylobionten Gruppen und seltenen Arten stärker veränderten als die nicht-xylobionten Gruppen oder häufigen und dominanten Arten. Basierend auf diesen Ergebnissen schlage ich vor, dass der Einsatz von Sanitärhieben sorgfältig gegen ihre langfristigen Auswirkungen auf Gemeinschaften seltener Arten abgewogen werden muss. Zusätzlich, besteht mit dem Belassen von natürlich gestörten Waldgebieten eine wertvolle Managementalternative, da diese Flächen eine natürliche Entwicklung von Vogelgemeinschaften ermöglichen und xylobionte Arten fördern, ohne dass die Trinkwasserqualität negativ beeinträchtigt wird.

>Magister Scientiae - MSc / The Nuwejaars River flows into the largest natural freshwater lake in South Africa, Soetendalsvlei, which relies on and interacts with the Nuwejaars River. Therefore, the water quality of the Nuwejaars River plays a role in the health of the surrounding ecosystem. Over a period of three years, concentrations of nutrient constituents, physicochemical parameters, chlorophyll and phycocyanin, were measured in an attempt to investigate the water quality of the river. This study aimed to identify the patterns of nutrients, chlorophyll and phycocyanin down the length of the Nuwejaars River by assessing the physico-chemical parameters, nutrients and chlorophyll concentrations in the surface water to determine the temporal and spatial variations of these parameters, and to examine the relationships between the concentrations of selected nutrients, chlorophyll a and phycocyanin in the river water.

The Provo River watershed has experienced land cover change over the past several decades. Land cover influences water quality inasmuch as land cover determines the type and quantity of non-point source (NPS) pollutants that may enter the water. This study examines the historical impacts of land cover changes on water quality in the Provo River using remote sensing and statistical analysis. Statistical correlations and linear regressions were used to study the relationship between various land cover types and water quality variables for six years between 1975 and 2002. This thesis supports research finding myriad impacts of urban land cover on water quality. The study also revealed that increasing pH, alkalinity, and bicarbonate levels in the Provo River are likely related to increasing urbanization of the watershed.

M. S.

Land use affects the water quality of lakes. Different land use types yield different effects due to varying amounts and constituents of runoff. In this study, the effects of surrounding land use on the water quality of 50 lakes in Seminole County, Florida was assessed. Using GIS, I placed buffers of 100 and 500 m around each lake. The percentages of land use type were calculated within these buffers for 1990 and 1995. An ordination of lakes was done using Canonical Correspondence Analysis (CCA) to determine if the surrounding land use patterns were adequate to describe the trophic status of the lakes. Correlations between land use and water quality were found to be significant for the 1990 100 and 500 m buffers. Inter-set correlations showed that among land use types: residential, urban, agriculture, hardwoods, and wetlands were the most influential in determining water quality in that they had the most positive or negative correlation with the WA scores depending on the year and buffer zone. Excessively drained and very poorly drained soils were the most influential of the soil types. A Discriminant Function Analysis (DFA) was also performed to determine which land use and soil variables were effective in discriminating between oligotrophic, mesotrophic, and eutrophic lakes. Wetlands and very poorly drained soil were the most effective in discriminating between the groups of lakes. A multiple regression analysis was performed that determined correlations for 1990 and change in land use 100 m buffers contributed to our understanding of the relationship between land use and water quality. Effects of land use on water quality need to be considered when attempting to restore a lake or subjecting it to future land development.

Safe drinking water is essential for life, yet at least two billion people around the world consume water contaminated with pathogens among other pollutants. Standard methods like polymerase chain reaction (PCR) and membrane filtration have been developed to detect enteric pathogens in water. However, these methods are limited in their accessibility due to long wait times to obtain results, and the requirements of skilled expertise, electricity, and laboratory equipment. This research has focused on addressing some of these limitations by analyzing the mechanisms of work and optimizing an indirect colorimetric nanosensor developed in previous research. The colorimetric nanosensor investigated herein relies on a competitive binding mechanism. When positively charged gold nanoparticles coated with polyethyleneimine (PEI-AuNPs) are added to a water sample containing negatively charged Escherichia coli (E. coli) and β-galactosidase (β-Gal) enzyme, the PEI-AuNPs will preferably bind to E. coli. This leaves β-Gal free in solution to hydrolyze chlorophenol red β-D-galactopyranoside (CPRG) (a substrate added to the water sample). The hydrolysis reaction of CPRG results in changing the solution color and the magnitude of this color change is a function of the amount of E. coli present in a water sample. It was hypothesized herein that the governing factor for the nanosensor functionality is the surface charge/Coulombic interactions rather than the nanoparticle composition or the type of chemical coating on the nanoparticle surface. To test the research hypotheses, positively charged nanoparticles with different compositions and chemical coatings as well as positively charged polymers were tested herein as potential detection agents for E. coli in water using the competitive binding assay reported in the literature with some modifications. This study produced three main findings that support the research hypotheses. First, gold nanoparticles (AuNPs) were not critical to the nanosensor functionality – other positively charged nanoparticles of silver and iron oxide coated with branched PEI were able to detect E. coli as low as 105 and 107 CFU/mL, respectively. Second, the branched PEI polymer itself (i.e., without a nanomaterial) detected E. coli at 107 CFU/mL. Third, in the absence of E. coli, (1-Hexadecyl) Trimethylammonium Bromide (CTAB), a positively charged polymer, inhibited the hydrolysis of CPRG by β-Gal. This inhibition suggests that other positively charged polymer types have potential applications in colorimetric detection assays that are based on the competitive binding mechanism. The observed behavior with the aforementioned sensing agents indicated that the positive charge was likely responsible for the detection of microbes using this competitive binding detection approach rather than the type of the chemical coating/agent used. These findings open possibilities for more types of recyclable and cost effective nanomaterials and polymers to be developed for detection of E. coli using this competitive binding approach. Furthermore, research is warranted for optimizing the sensing agents tested in this study to lower their detection limit and assess their recyclability.

Environmental management has increasingly become a participatory process. In recent times, emphasis has been placed on watershed-based solutions to remediate the problems of diffuse source pollution and to engage stakeholders in designing solutions. Water quality models are an integral part of this process; such models are often inaccessible to lay stakeholders. A review of the literature suggests that properly applied partnerships have several benefits that go beyond decision-making. Stakeholder education and enhancements to the eventual outcome from stakeholder insight and support are two such benefits. To aid engineers and scientists, who often do not interact directly with other stakeholders, several best practices were identified that may be applied to develop, manage, and evaluate stakeholder partnerships. Environmental Decision Support Systems (EDSSs) have been shown to be an effective way to promote stakeholder partnerships in environmental decision-making. Many current EDSSs were designed to be used by experts, thus limiting their effectiveness for stakeholder engagement. Often, these EDSSs, if designed for lay stakeholders, were not coupled with water quality models. To demonstrate that complex water quality models may be made accessible to stakeholders, without any significant changes to the modeling scheme, a web-based EDSS was developed for the Occoquan Reservoir, located in northern Virginia, U.S.A., and its tributary watershed. The developed EDSS may also be readily extended to other watersheds and their modeling programs. The current implementation of the EDSS enables users to modify land use and analyze simulated changes to water quality due to these modifications. A local-network server cluster, based on the Locally Distributed Simultaneous Model Execution (LDSME) framework, was also developed and served as a backend to the EDSS. The server cluster can support simultaneous execution of multiple water quality models or any other software on disparate computers. This system was employed to study pre-development and other land use modification scenarios in the Occoquan Watershed. The pre-development scenario offers an easy-to-understand and universally-applicable baseline for measuring waterbody and watershed restoration progress. It enabled computation of a measure called the "developed-excess," which is independent of local conditions and may be used for comparisons among various watershed sub-divisions or between watersheds. / Ph. D.